Featured Publications
m6A Modification Prevents Formation of Endogenous Double-Stranded RNAs and Deleterious Innate Immune Responses during Hematopoietic Development
Gao Y, Vasic R, Song Y, Teng R, Liu C, Gbyli R, Biancon G, Nelakanti R, Lobben K, Kudo E, Liu W, Ardasheva A, Fu X, Wang X, Joshi P, Lee V, Dura B, Viero G, Iwasaki A, Fan R, Xiao A, Flavell RA, Li HB, Tebaldi T, Halene S. m6A Modification Prevents Formation of Endogenous Double-Stranded RNAs and Deleterious Innate Immune Responses during Hematopoietic Development. Immunity 2020, 52: 1007-1021.e8. PMID: 32497523, PMCID: PMC7408742, DOI: 10.1016/j.immuni.2020.05.003.Peer-Reviewed Original ResearchConceptsDouble-stranded RNADeleterious innate immune responseMammalian hematopoietic developmentEndogenous double-stranded RNAHematopoietic developmentInnate immune responseAbundant RNA modificationMurine fetal liverPattern recognition receptor pathwaysImmune responseProtein codingDsRNA formationRNA modificationsWriter METTL3Hematopoietic defectsPerinatal lethalityNative stateConditional deletionAberrant innate immune responsesLoss of METTL3Hematopoietic failureReceptor pathwayAberrant immune responsePrevents formationFetal liverA highly efficient and faithful MDS patient-derived xenotransplantation model for pre-clinical studies
Song Y, Rongvaux A, Taylor A, Jiang T, Tebaldi T, Balasubramanian K, Bagale A, Terzi YK, Gbyli R, Wang X, Fu X, Gao Y, Zhao J, Podoltsev N, Xu M, Neparidze N, Wong E, Torres R, Bruscia EM, Kluger Y, Manz MG, Flavell RA, Halene S. A highly efficient and faithful MDS patient-derived xenotransplantation model for pre-clinical studies. Nature Communications 2019, 10: 366. PMID: 30664659, PMCID: PMC6341122, DOI: 10.1038/s41467-018-08166-x.Peer-Reviewed Original ResearchConceptsPatient-derived xenograftsMyelodysplastic syndromeXenotransplantation modelDysplastic morphologyImmunodeficient murine hostsPre-clinical studiesMDS stem cellsMDS subtypesComprehensive preclinical studiesPreclinical studiesTherapeutic efficacyMurine hostSerial transplantationDrug mechanismsMDS researchStem cell propagationStem cellsDifferentiation potentialHematopoietic stem cell nicheGenetic complexityNovel avenuesStem cell nicheCell propagationDisease representationsImmunodeficient
2022
NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health
Lee P, Benz C, Blood P, Börner K, Campisi J, Chen F, Daldrup-Link H, De Jager P, Ding L, Duncan F, Eickelberg O, Fan R, Finkel T, Furman D, Garovic V, Gehlenborg N, Glass C, Heckenbach I, Joseph Z, Katiyar P, Kim S, Königshoff M, Kuchel G, Lee H, Lee J, Ma J, Ma Q, Melov S, Metis K, Mora A, Musi N, Neretti N, Passos J, Rahman I, Rivera-Mulia J, Robson P, Rojas M, Roy A, Scheibye-Knudsen M, Schilling B, Shi P, Silverstein J, Suryadevara V, Xie J, Wang J, Wong A, Niedernhofer L, Wang S, Anvari H, Balough J, Benz C, Bons J, Brenerman B, Evans W, Gerencser A, Gregory H, Hansen M, Justice J, Kapahi P, Murad N, O’Broin A, Pavone M, Powell M, Scott G, Shanes E, Shankaran M, Verdin E, Winer D, Wu F, Adams A, Blood P, Bueckle A, Cao-Berg I, Chen H, Davis M, Filus S, Hao Y, Hartman A, Hasanaj E, Helfer J, Herr B, Joseph Z, Molla G, Mou G, Puerto J, Quardokus E, Ropelewski A, Ruffalo M, Satija R, Schwenk M, Scibek R, Shirey W, Sibilla M, Welling J, Yuan Z, Bonneau R, Christiano A, Izar B, Menon V, Owens D, Phatnani H, Smith C, Suh Y, Teich A, Bekker V, Chan C, Coutavas E, Hartwig M, Ji Z, Nixon A, Dou Z, Rajagopal J, Slavov N, Holmes D, Jurk D, Kirkland J, Lagnado A, Tchkonia T, Abraham K, Dibattista A, Fridell Y, Howcroft T, Jhappan C, Montes V, Prabhudas M, Resat H, Taylor V, Kumar M, Suryadevara V, Cigarroa F, Cohn R, Cortes T, Courtois E, Chuang J, Davé M, Domanskyi S, Enninga E, Eryilmaz G, Espinoza S, Gelfond J, Kirkland J, Kuchel G, Kuo C, Lehman J, Aguayo-Mazzucato C, Meves A, Rani M, Sanders S, Thibodeau A, Tullius S, Ucar D, White B, Wu Q, Xu M, Yamaguchi S, Assarzadegan N, Cho C, Hwang I, Hwang Y, Xi J, Adeyi O, Aliferis C, Bartolomucci A, Dong X, DuFresne-To M, Ikramuddin S, Johnson S, Nelson A, Niedernhofer L, Revelo X, Trevilla-Garcia C, Sedivy J, Thompson E, Robbins P, Wang J, Aird K, Alder J, Beaulieu D, Bueno M, Calyeca J, Chamucero-Millaris J, Chan S, Chung D, Corbett A, Gorbunova V, Gowdy K, Gurkar A, Horowitz J, Hu Q, Kaur G, Khaliullin T, Lafyatis R, Lanna S, Li D, Ma A, Morris A, Muthumalage T, Peters V, Pryhuber G, Reader B, Rosas L, Sembrat J, Shaikh S, Shi H, Stacey S, Croix C, Wang C, Wang Q, Watts A, Gu L, Lin Y, Rabinovitch P, Sweetwyne M, Artyomov M, Ballentine S, Chheda M, Davies S, DiPersio J, Fields R, Fitzpatrick J, Fulton R, Imai S, Jain S, Ju T, Kushnir V, Link D, Ben Major M, Oh S, Rapp D, Rettig M, Stewart S, Veis D, Vij K, Wendl M, Wyczalkowski M, Craft J, Enninful A, Farzad N, Gershkovich P, Halene S, Kluger Y, VanOudenhove J, Xu M, Yang J, Yang M. NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health. Nature Aging 2022, 2: 1090-1100. PMID: 36936385, PMCID: PMC10019484, DOI: 10.1038/s43587-022-00326-5.Peer-Reviewed Original ResearchConceptsSenescence-associated secretory phenotypeSenescent cellsSecretory phenotypeMulti-omics datasetsStable growth arrestHuman lifespanDiverse rolesGrowth arrestProinflammatory senescence-associated secretory phenotypeHuman tissuesPhenotypeMetabolic changesCellsHuman healthLifespanPhysiological healthCommon Coordinate Framework
2021
A neutrophil activation signature predicts critical illness and mortality in COVID-19
Meizlish ML, Pine AB, Bishai JD, Goshua G, Nadelmann ER, Simonov M, Chang CH, Zhang H, Shallow M, Bahel P, Owusu K, Yamamoto Y, Arora T, Atri DS, Patel A, Gbyli R, Kwan J, Won CH, Dela Cruz C, Price C, Koff J, King BA, Rinder HM, Wilson FP, Hwa J, Halene S, Damsky W, van Dijk D, Lee AI, Chun HJ. A neutrophil activation signature predicts critical illness and mortality in COVID-19. Blood Advances 2021, 5: 1164-1177. PMID: 33635335, PMCID: PMC7908851, DOI: 10.1182/bloodadvances.2020003568.Peer-Reviewed Original ResearchConceptsCritical illnessHealth system databaseNeutrophil activationCOVID-19Neutrophil activation signatureSevere COVID-19Intensive care unitGranulocyte colony-stimulating factorHigh mortality rateColony-stimulating factorSystem databaseHepatocyte growth factorClinical decompensationNeutrophil countImmune hyperactivationCare unitEarly elevationLipocalin-2Interleukin-8Longitudinal cohortClinical dataMortality ratePatientsIllnessActivation signature
2020
Endotheliopathy in COVID-19-associated coagulopathy: evidence from a single-centre, cross-sectional study
Goshua G, Pine AB, Meizlish ML, Chang CH, Zhang H, Bahel P, Baluha A, Bar N, Bona RD, Burns AJ, Dela Cruz CS, Dumont A, Halene S, Hwa J, Koff J, Menninger H, Neparidze N, Price C, Siner JM, Tormey C, Rinder HM, Chun HJ, Lee AI. Endotheliopathy in COVID-19-associated coagulopathy: evidence from a single-centre, cross-sectional study. The Lancet Haematology 2020, 7: e575-e582. PMID: 32619411, PMCID: PMC7326446, DOI: 10.1016/s2352-3026(20)30216-7.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBetacoronavirusBiomarkersBlood Coagulation DisordersCoronavirus InfectionsCOVID-19Critical IllnessCross-Sectional StudiesEndothelium, VascularFemaleFollow-Up StudiesHumansIntensive Care UnitsMaleMiddle AgedPandemicsPneumonia, ViralPrognosisSARS-CoV-2Vascular DiseasesYoung AdultConceptsCOVID-19-associated coagulopathyNon-ICU patientsIntensive care unitKaplan-Meier analysisSoluble P-selectinCross-sectional studyPlatelet activationHospital dischargeICU patientsSoluble thrombomodulinEndothelial cellsVWF antigenCOVID-19P-selectinSingle-center cross-sectional studyLaboratory-confirmed COVID-19Medical intensive care unitSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pathogenesisVon Willebrand factor antigenSoluble thrombomodulin concentrationsVWF antigen concentrationEndothelial cell injurySoluble CD40 ligandMicrovascular complicationsAdult patients